TU2.R10.4
ANOMALY DETECTION USING DISTRIBUTED ACOUSTIC SENSING
Gustav Hylsberg Jacobsen, Sebastia Zimmer Lefmann, Sofie Groth Dige, Bjarni Olsen, Kristian Aalling Sørensen, Hasse Bülow Pedersen, Technical University of Denmark, Denmark
Session:
TU2.R10: Machine learning applications in seismic data processing and imaging Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Tue, 11 Aug, 11:30 - 11:45
Session Co-Chairs:
Sergey Fomel, University of Texas at Austin and Yangkang Chen, UT Austin
Presentation
Discussion
Resources
No resources available.
Session TU2.R10
TU2.R10.1: A DEEP LEARNING BASED WORKFLOW FOR MULTICOMPONENT SEISMIC DATA REGISTRATION
S M Shamsul Hoque, Rui Zhang, University of Louisiana at Lafayette, United States; Md. Safirur Rashidb, Islamic University of Technology, Bangladesh
TU2.R10.3: WHEN BIGGER IS NOT BETTER: EFFICIENT EARTHQUAKE DETECTION WITH MHATT
Garrett Cayce, O.S.C.A.R. Lab, United States; Arthur Depoian, Data Engineers North Texas, United States; Colleen Bailey, O.S.C.A.R. Lab, United States
TU2.R10.4: ANOMALY DETECTION USING DISTRIBUTED ACOUSTIC SENSING
Gustav Hylsberg Jacobsen, Sebastia Zimmer Lefmann, Sofie Groth Dige, Bjarni Olsen, Kristian Aalling Sørensen, Hasse Bülow Pedersen, Technical University of Denmark, Denmark
Contacts